ccf-literature-monitor

ccf-literature-monitor is a Literature review & citations skill for AI agents, published by mikubaka88 in the CCFA-Skills repository on GitHub. Skillspace rates ccf-literature-monitor C (70/100) and it passed the safety scan; the rating is based on static analysis only.

Monitor arXiv, OpenReview, conference feeds, labs, projects, and competitor papers for new work that may overlap with a user's idea. Use for arxiv-watch, novelty-check, trend-scouting, competitor-tracking, paper tracking, 竞品监控, 新论文追踪, 论文跟踪, 类似 idea 监控. Link findings to ccf-literature-searcher, ccf-idea-reviewer, ccf-idea-optimizer, ccf-paper-writer, and ccf-integrity-auditor.

Grade
C
Quality
70 / 100
Safety
Passed
GitHub stars
892

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.